Predictions
ID
Lang
Model name
Repository
Description
Model 1 - Weekly and yearly (iid) components
The model is founded on a structural decomposition designed for modeling counting series, employing a Poisson distribution. The log intensity is defined by the sum of weekly and yearly components, where the first one is defined as a AR(1) process and the last one is assumed to be iid.
Modelo fourier-gravidade
Prediction Validation test 3 in RJ
LSTM-RF model
LSTM-RF predictions for Mosqlimate Sprint 2025
Cornell PEH - NegBinom Baseline
Validation 3 (Cornell PEH - NegBinom Baseline model). Authored by Tijs W. Alleman & Ana I. Bento.
LSTM-RF model
LSTM-RF predictions for Mosqlimate Sprint 2025
LSTM-RF model
LSTM-RF predictions for Mosqlimate Sprint 2025
LSTM-RF model
LSTM-RF predictions for Mosqlimate Sprint 2025
3054 predictions
https://api.mosqlimate.org/api/registry/predictions/?page=30&per_page=30&
Page 30 of 102
